[Big data, generalities and integration in radiotherapy]

Cancer Radiother. 2018 Feb;22(1):73-84. doi: 10.1016/j.canrad.2017.04.013. Epub 2017 Nov 14.
[Article in French]

Abstract

The many advances in data collection computing systems (data collection, database, storage), diagnostic and therapeutic possibilities are responsible for an increase and a diversification of available data. Big data offers the capacities, in the field of health, to accelerate the discoveries and to optimize the management of patients by combining a large volume of data and the creation of therapeutic models. In radiotherapy, the development of big data is attractive because data are very numerous et heterogeneous (demographics, radiomics, genomics, radiogenomics, etc.). The expectation would be to predict the effectiveness and tolerance of radiation therapy. With these new concepts, still at the preliminary stage, it is possible to create a personalized medicine which is always more secure and reliable.

Keywords: Big data; Cancer; Genomics; Génomique; Modèle prédictif; Predictive model; Radiosensibilité; Radiosensitivity; Radiotherapy; Radiothérapie.

Publication types

  • Review

MeSH terms

  • Clinical Decision-Making*
  • Data Collection
  • Databases, Factual / statistics & numerical data*
  • Humans
  • Neoplasms / radiotherapy*
  • Precision Medicine
  • Radiation Tolerance